deep-learning skills

Developers and researchers performing deep learning repository reproduction who encounter specific technical ambiguities in documentation

The paper-context-resolver skill provides targeted information from research papers to resolve specific gaps in deep learning repository reproduction. It focuses on technical details like dataset splits, preprocessing steps, evaluation protocols, checkpoint mappings, and runtime assumptions.

Researchers and developers who need to understand the architecture and implementation details of a deep learning repository before modifying code

The analyze-project skill performs read-only audits of deep learning repositories. It maps model structures, identifies training and inference entrypoints, reviews configuration relationships, and flags suspicious implementation patterns.